--- title: "GJRM (R package): papers citing this CRAN package" description: "6 papers in the tracked journals link to GJRM (R package) in their Crossref records, the first in 2017; most of them (2) in 2018." url: https://scholar4ai.com/code/cran-gjrm markdown_url: https://scholar4ai.com/code/cran-gjrm.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "6 papers in the tracked journals link to GJRM (R package) in their Crossref records, the first in 2017; most of them (2) in 2018. (as of 2026-11-03)" data_url: https://scholar4ai.com/data/rankings.json updated: 2026-11-03T14:43:26+09:00 window: 2026-10-05 to 2026-11-03 source: OpenAlex (CC0) --- # GJRM (R package): papers linking to it Research papers in the 480 tracked journals that link to GJRM (R package) (https://CRAN.R-project.org/package=GJRM), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from. - CRAN - https://CRAN.R-project.org/package=GJRM All repositories: https://scholar4ai.com/code.md ## Key findings - 6 papers in the tracked journals link to GJRM (R package) in their Crossref records, the first in 2017; most of them (2) in 2018. - By category: Statistics (3), Health Economics and Policy (1) and Finance (1); the journals with the most are Economics & Human Biology (1), Journal of Behavioral and Experimental Finance (1) and Journal of Open Innovation Technology Market and Complexity (1). - 2 of the papers build on one another: a later paper cites an earlier one that also links GJRM (R package). ## By year *Papers linking to GJRM (R package) by publication year* | Year | Papers | |---|---:| | 2017 | 1 | | 2018 | 2 | | 2021 | 1 | | 2024 | 1 | | 2026 | 1 | ## Journals *Journals whose papers link to GJRM (R package) most* | Journal | Papers | |---|---:| | [Economics & Human Biology](https://scholar4ai.com/journals/economics-human-biology.md) | 1 | | [Journal of Behavioral and Experimental Finance](https://scholar4ai.com/journals/journal-of-behavioral-and-experimental-finance.md) | 1 | | [Journal of Open Innovation Technology Market and Complexity](https://scholar4ai.com/journals/journal-of-open-innovation-technology-market-and-complexity.md) | 1 | | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 | | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 1 | ## Family tree Each paper sits under the earlier paper it builds on. - [Copula based generalized additive models for location, scale and shape with non-random sample selection](https://doi.org/10.1016/j.csda.2018.05.001) (Computational Statistics & Data Analysis, 2018) - [Evaluating the influence of digital strategy on the interplay between quality certification and sales performance using data science and machine learning algorithms](https://doi.org/10.1016/j.joitmc.2024.100354) (Journal of Open Innovation Technology Market and Complexity, 2024) — cites the paper above ## Papers *Papers linking to GJRM (R package), most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2018-05-12 | [Copula based generalized additive models for location, scale and shape with non-random sample selection](https://doi.org/10.1016/j.csda.2018.05.001) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Małgorzata Wojtyś, Giampiero Marra, Rosalba Radice | 25 | cites it | | 2021-01-01 | [Robust fitting for generalized additive models for location, scale and shape](https://doi.org/10.1007/s11222-020-09979-x) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | William H. Aeberhard, Eva Cantoni, Giampiero Marra et al. | 18 | cites it | | 2018-07-20 | [A trivariate additive regression model with arbitrary link functions and varying correlation matrix](https://doi.org/10.1016/j.jspi.2018.07.002) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | Panagiota Filippou, Thomas Kneib, Giampiero Marra et al. | 14 | cites it | | 2024-08-03 | [Evaluating the influence of digital strategy on the interplay between quality certification and sales performance using data science and machine learning algorithms](https://doi.org/10.1016/j.joitmc.2024.100354) | [Journal of Open Innovation Technology Market and Complexity](https://scholar4ai.com/journals/journal-of-open-innovation-technology-market-and-complexity.md) | Ibrahim Niankara | 10 | cites it | | 2017-12-28 | [Private monetary transfers between households: Who is helped and by whom?](https://doi.org/10.1016/j.jbef.2017.12.010) | [Journal of Behavioral and Experimental Finance](https://scholar4ai.com/journals/journal-of-behavioral-and-experimental-finance.md) | Luca Zanin | 3 | cites it | | 2026-05-20 | [Heterogeneous returns to antenatal care: Evidence from childhood immunization in Senegal](https://doi.org/10.1016/j.ehb.2026.101608) | [Economics & Human Biology](https://scholar4ai.com/journals/economics-human-biology.md) | Tadandjoa KOLANI | 0 | cites it | ## How this is measured Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month. ## Cite this page Scholar4AI. (2026). GJRM (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-gjrm ```bibtex @misc{scholar4ai-code-cran-gjrm, author = {{Scholar4AI}}, title = {GJRM (R package): papers linking to it}, year = {2026}, howpublished = {\url{https://scholar4ai.com/code/cran-gjrm}}, urldate = {2026-11-03}, note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).